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Found 1,544 Skills
Extract Feishu (Lark) Docs, Wiki pages, Wiki collections/hubs, spreadsheets, and Minutes (妙记) transcripts into clean high-fidelity local Markdown. The primary path is the lark-cli API — programmatic extraction with no LLM rewriting of the body — which recursively follows a collection's reference graph (mention-doc / sheet / cross-tenant links) and uses error codes to resolve permission boundaries precisely; a browser-DOM path is the fallback only when lark-cli cannot reach the content. Use this whenever the source is a Feishu/Lark URL and fidelity matters — including 导出飞书文档/合集/妙记转写, 把飞书 wiki/知识库转 markdown, scraping or archiving a Feishu collection, exporting a Feishu Minutes/妙记 transcript, or saving a Feishu page locally — even if the user only says clipping, archiving, converting, or "save this". Also covers the permission-denied path (owner-exported .docx → faithful Markdown with heading/highlight restoration).
Find working Deepgram integration examples with third-party platforms and frameworks. Use whenever someone wants to integrate Deepgram with Twilio, LiveKit, LangChain, Vercel AI SDK, Discord, Vonage, Pipecat, Expo, FastAPI, Cloudflare Workers, Slack, Telegram, LlamaIndex, Zoom, Next.js, Nuxt, Django, SvelteKit, NestJS, Spring Boot, CrewAI, Riverside, SignalWire, and more. Examples are full runnable integration demos, not minimal feature snippets.
Reads a contract and generates redline suggestions with replacement language. Identifies unfavorable terms, missing protections, ambiguous language, liability exposure, IP risks, termination traps, and auto-renewal gotchas. Produces a contract-review.md with clause-by-clause analysis, risk ratings, tracked changes format, and negotiation talking points. Use when the user wants redline markup, contract markup, or suggested contract edits.
Action recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for classifying temporal actions in video clips. Use when training, evaluating, exporting, or running inference on a TAO action-recognition model. Trigger phrases include "train action recognition", "video action classification", "RGB + optical flow action model", "TAO ActionRecognition".
Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose-keypoint data. Use when training, evaluating, exporting, or running inference for a TAO pose-classification model. Trigger phrases include "train pose classification", "skeleton action recognition", "ST-GCN", "keypoint sequence classifier".
ALWAYS USE THIS SKILL for anything involving Salesforce Archive (also called Trusted Services Archive) — search, view, unarchive, analyze, mask, and erase (RTBF) archived records via the Archive Connect API, and reading archive job status from the ArchiveActivity object. TRIGGER when: user mentions Salesforce Archive, Trusted Services Archive, archive/unarchive records, ArchiveActivity, archive jobs, archive policy, archive analyzer, archived record search, archive storage, archive failure logs, right to be forgotten / RTBF on archived data, or masking archived PII — including phrasings like 'find records that were archived', 'restore archived data', 'why did the archive job fail', 'download the archive failure log', or 'monitor my archive jobs', AND even when they ask you to explain, give guidance, or write a runbook/doc about these topics rather than run code. SKIP when: the user wants generic data-export/backup unrelated to the Archive add-on, or wants to build the archive policy UI metadata.
Design data-driven Godot 4.x games with custom Resource classes: define typed data with class_name + @export, save/load .tres/.res files, instance and duplicate resources, and load on demand with ResourceLoader (incl. threaded loading). Use when modeling items/stats/configs as data in a Godot project, creating .tres resources, or working with custom Resource subclasses and ResourceLoader/ResourceSaver.
Use when you want to expose an n8n workflow as a tool the coding agent can call. Two cases. (1) Wrap n8n API capabilities the MCP doesn't natively expose: folder CRUD, tag rename/delete, instance metadata, credential creation. (2) Expose a general-purpose workflow as an agent tool: a workflow that calls a third-party API, runs business logic, or does any task you want the agent to invoke. Triggers on "expose as MCP tool", "build a tool for my agent", "I need to know X" where X isn't an MCP tool, "create folder", "rename tag", or any capability gap.
Craft advanced search-engine queries and Google dorks to surface hidden files, documents, and mentions. Use when building a Google dork, using search operators (site:, filetype:, inurl:, intitle:, intext:, before:/after:), forcing verbatim/exact-match search, finding exposed directory listings, config files, backups, or open S3 buckets, searching paste sites and document repositories for a name, email, or leaked selector, or comparing Google against Bing, DuckDuckGo, and Yandex operators.
Build an Android app on a remote Gradle sandbox with `lim gradle build` instead of local Gradle or Android Studio, from any environment (Linux, Windows, macOS, VM, container). Use when the user wants to build an APK or AAB, sign a release with an upload key, or prepare a Play Store publish, for native Android projects, React Native, and Expo. To run, tap, screenshot, or otherwise interact with the built APK on an emulator, use the `lim android` commands shown here. For iOS builds, use limrun-xcode or limrun-expo-development.
Validate existing offers using Hormozi's Value Equation. Scores offers, exposes weaknesses, and provides actionable fixes. Activates for "validate my offer," "rate my offer," or "is my offer good."
App Store screenshot research, competitor analysis, and planning tool for iOS/macOS apps. Use this skill when working with App Store screenshots for any of these tasks: (1) Finding and analyzing competitor screenshots in your category, (2) Downloading competitor screenshots locally for reference, (3) Analyzing screenshot strategies (styles, captions, features), (4) Planning your screenshot sequence and messaging, (5) Generating a local preview website to view and compare screenshots, (6) Understanding screenshot requirements and best practices, (7) Creating exportable screenshot assets at correct dimensions.